Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management
Fuente:
arXiv
Saved in:
| Main Authors: | Amiri, Mohammad Hossein Nejati, Annaz, Fawaz, De Oliveira, Mario, Gueniat, Florimond |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Strategies for Resilience and Battery Life Extension in the Face of Communication Losses for Isolated Microgrids
by: Amiri, Mohammad Hossein Nejati, et al.
Published: (2024)
by: Amiri, Mohammad Hossein Nejati, et al.
Published: (2024)
AI-Enhanced IoT Systems for Predictive Maintenance and Affordability Optimization in Smart Microgrids: A Digital Twin Approach
by: Kushal, Koushik Ahmed, et al.
Published: (2025)
by: Kushal, Koushik Ahmed, et al.
Published: (2025)
A Multiobjective Reinforcement Learning Framework for Microgrid Energy Management
by: Liu, M. Vivienne, et al.
Published: (2023)
by: Liu, M. Vivienne, et al.
Published: (2023)
Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events
by: Wu, Yin, et al.
Published: (2026)
by: Wu, Yin, et al.
Published: (2026)
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)
by: Liu, Changrui, et al.
Published: (2025)
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management
by: Li, Yuanzheng, et al.
Published: (2022)
by: Li, Yuanzheng, et al.
Published: (2022)
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Data-Efficient Control of Polynomial Systems via Physics-Guided Quadratic Constraints
by: Ashoori, MohammadHossein, et al.
Published: (2025)
by: Ashoori, MohammadHossein, et al.
Published: (2025)
A Data-Driven Krasovskii-Based Approach for Safety Controller Design of Time-Delayed Uncertain Polynomial Systems
by: Akbarzadeh, Omid, et al.
Published: (2026)
by: Akbarzadeh, Omid, et al.
Published: (2026)
Safety Controller Synthesis for Stochastic Polynomial Time-Delayed Systems
by: Akbarzadeh, Omid, et al.
Published: (2026)
by: Akbarzadeh, Omid, et al.
Published: (2026)
A Physics-Informed Scenario Approach with Data Mitigation for Safety Verification of Nonlinear Systems
by: Aminzadeh, Ali, et al.
Published: (2024)
by: Aminzadeh, Ali, et al.
Published: (2024)
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
by: Mukherjee, Sayak, et al.
Published: (2022)
by: Mukherjee, Sayak, et al.
Published: (2022)
Cooperative Energy Scheduling of Multi-Microgrids Based on Risk-Sensitive Reinforcement Learning
by: Zhang, Rongxiang, et al.
Published: (2025)
by: Zhang, Rongxiang, et al.
Published: (2025)
Real-Time Energy Management Strategies for Community Microgrids
by: Uddin, Moslem, et al.
Published: (2025)
by: Uddin, Moslem, et al.
Published: (2025)
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2024)
ADMM Penalty Parameter Evaluation for Networked Microgrid Energy Management
by: Silva-Rodriguez, Jesus, et al.
Published: (2025)
by: Silva-Rodriguez, Jesus, et al.
Published: (2025)
Integrated Energy Management for Operational Cost Optimization in Community Microgrids
by: Uddin, Moslem, et al.
Published: (2025)
by: Uddin, Moslem, et al.
Published: (2025)
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
by: Yao, Fulong, et al.
Published: (2024)
by: Yao, Fulong, et al.
Published: (2024)
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
Resilient Microgrid Formation Considering Communication Interruptions
by: Zhong, Jian, et al.
Published: (2024)
by: Zhong, Jian, et al.
Published: (2024)
Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
Context-Aware Model Predictive Control for Microgrid Energy Management via LLMs
by: Wu, Ruixiang, et al.
Published: (2025)
by: Wu, Ruixiang, et al.
Published: (2025)
Real-Time Co-Simulation for DC Microgrid Energy Management with Communication Delays
by: Krishnan, S. Gokul, et al.
Published: (2025)
by: Krishnan, S. Gokul, et al.
Published: (2025)
Lyapunov-based Resilient Secondary Synchronization Strategy of AC Microgrids Under Exponentially Energy-Unbounded FDI Attacks
by: Rajabinezhad, Mohamadamin, et al.
Published: (2024)
by: Rajabinezhad, Mohamadamin, et al.
Published: (2024)
Strategic SDN-based Microgrid Formation for Managing Communication Failures in Distribution System Restoration
by: Zhong, Jian, et al.
Published: (2024)
by: Zhong, Jian, et al.
Published: (2024)
Offline Reinforcement Learning for Microgrid Voltage Regulation
by: Yang, Shan, et al.
Published: (2025)
by: Yang, Shan, et al.
Published: (2025)
Efficient MPC-Based Energy Management System for Secure and Cost-Effective Microgrid Operations
by: He, Hanyang, et al.
Published: (2025)
by: He, Hanyang, et al.
Published: (2025)
Long-Term Energy Management for Microgrid with Hybrid Hydrogen-Battery Energy Storage: A Prediction-Free Coordinated Optimization Framework
by: Qi, Ning, et al.
Published: (2024)
by: Qi, Ning, et al.
Published: (2024)
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems
by: Xiao, Qi, et al.
Published: (2024)
by: Xiao, Qi, et al.
Published: (2024)
Resilient Composite Control for Stability Enhancement in EV Integrated DC Microgrids
by: Islam, Md Saiful, et al.
Published: (2025)
by: Islam, Md Saiful, et al.
Published: (2025)
Predictive Multi-Microgrid Generation Maintenance: Formulation and Impact on Operations & Resilience
by: Fallahi, Farnaz, et al.
Published: (2020)
by: Fallahi, Farnaz, et al.
Published: (2020)
Adaptive Online Optimization for Microgrids with Renewable Energy Sources
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
by: van Weerelt, Wouter J. A., et al.
Published: (2025)
A Reinforcement Learning Approach for Optimal Control in Microgrids
by: Salaorni, Davide, et al.
Published: (2025)
by: Salaorni, Davide, et al.
Published: (2025)
Preventive Energy Management for Distribution Systems Under Uncertain Events: A Deep Reinforcement Learning Approach
by: Anam, Md Isfakul, et al.
Published: (2024)
by: Anam, Md Isfakul, et al.
Published: (2024)
A Distributed Malicious Agent Detection Scheme for Resilient Power Apportioning in Microgrids
by: Khatana, Vivek, et al.
Published: (2024)
by: Khatana, Vivek, et al.
Published: (2024)
Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids
by: Shadaei, Maral, et al.
Published: (2023)
by: Shadaei, Maral, et al.
Published: (2023)
Auxiliary Network-Enabled Attack Detection and Resilient Control of Islanded AC Microgrid
by: Vaishnav, Vaibhav, et al.
Published: (2023)
by: Vaishnav, Vaibhav, et al.
Published: (2023)
Real-Time Simulation of a Resilient Control Center for Inverter-Based Microgrids
by: Beikbabaei, Milad, et al.
Published: (2024)
by: Beikbabaei, Milad, et al.
Published: (2024)
An Overview of the Prospects and Challenges of Using Artificial Intelligence for Energy Management Systems in Microgrids
by: Khanum, Noor ul Misbah, et al.
Published: (2025)
by: Khanum, Noor ul Misbah, et al.
Published: (2025)
Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning
by: Banker, Thomas, et al.
Published: (2025)
by: Banker, Thomas, et al.
Published: (2025)
Similar Items
-
Strategies for Resilience and Battery Life Extension in the Face of Communication Losses for Isolated Microgrids
by: Amiri, Mohammad Hossein Nejati, et al.
Published: (2024) -
AI-Enhanced IoT Systems for Predictive Maintenance and Affordability Optimization in Smart Microgrids: A Digital Twin Approach
by: Kushal, Koushik Ahmed, et al.
Published: (2025) -
A Multiobjective Reinforcement Learning Framework for Microgrid Energy Management
by: Liu, M. Vivienne, et al.
Published: (2023) -
Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events
by: Wu, Yin, et al.
Published: (2026) -
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)